👉 Fusion computing is an advanced computing paradigm that integrates multiple types of computing resources, such as CPUs, GPUs, and specialized accelerators like TPUs, into a cohesive system designed to optimize performance and efficiency across diverse workloads. Unlike traditional parallel computing, which often involves running different tasks on separate devices, fusion computing dynamically allocates and manages resources based on the specific demands of each task, allowing for more efficient use of heterogeneous hardware. This approach enables seamless data transfer and synchronization between different processing units, reducing latency and improving overall system throughput. By intelligently combining the strengths of various computing architectures, fusion computing aims to deliver superior performance and energy efficiency, making it particularly suitable for complex, data-intensive applications in fields like artificial intelligence, scientific simulations, and real-time analytics.
